Last refreshed 2026-05-11. Next refresh: weekly.
Why use Gemma 4 E4B IT on Google AI Studio?
Google AI Studio offers Gemma 4 E4B IT with competitive pricing. Google AI Studio is a model prototyping environment and API access point for Gemini models, offering an inference playground for developers to test and build AI applications.
Compare Gemma 4 E4B IT across 2 providers to find the best fit for your use caseInput / 1M
-
Output / 1M
-
Cache
Not sourced
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install google-genaiAuth
export GOOGLE_API_KEY=...Call
import os
from google import genai
client = genai.Client(api_key=os.environ["GOOGLE_API_KEY"])
response = client.models.generate_content(Model ID
gemma-4-e4b-itRequest example
import os
from google import genai
client = genai.Client(api_key=os.environ["GOOGLE_API_KEY"])
response = client.models.generate_content(
model="gemma-4-e4b-it",
contents="Hello"
)
print(response.text)Gotchas
- Use the model name directly, e.g. "gemini-2.0-flash", "gemini-1.5-pro", or "gemini-2.5-pro-preview-05-06".
- The examples expect GOOGLE_API_KEY; rename it only if your application config maps the new variable.
Compare Gemma 4 E4B IT Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Google AI Studio | — | — |
| GCP Vertex AI | Free | Free |
Capabilities
MultimodalFunction CallingStructured Outputs
About Gemma 4 E4B IT
Instruction-tuned variant of Gemma 4 E4B with enhanced instruction-following for edge deployment.
FAQ
What is the context window for Gemma 4 E4B IT on Google AI Studio?
Gemma 4 E4B IT supports a 128,000 token context window on Google AI Studio.
How does Google AI Studio compare to other Gemma 4 E4B IT providers?
Gemma 4 E4B IT is available from 2 providers. The cheapest input pricing is $0/1M tokens from GCP Vertex AI.
Who created Gemma 4 E4B IT?
Gemma 4 E4B IT was created by Google DeepMind as part of the Gemma 4 model family.
Is Gemma 4 E4B IT open source?
Gemma 4 E4B IT is open source according to the seed data.
Get Started
Model Specs
Released2026-03-31
Parameters4B
Context128k
Knowledge cutoff2025-01